Automatic extraction of salient objects in 3D stereoscopic videos

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

For 3D stereoscopic videos the depth perception represents an important factor that affects the human visual attention much more than any motion or texture contrast existent in a traditional 2D videos. In this context, the present paper addressed the issue of stereoscopic visual attention models designed to detect salient objects in 3D videos. We propose representing the image sequence as a 2D video stream and its associated depth maps. The technique starts by combining a spatiotemporal attention model with a disparity map. The depth map offers important information about the objects position in space and helps us estimating their relative distance to the video camera. The proposed method is evaluated on a set of ten 3D video streams and can be considered efficient and robust.

Original languageEnglish
Title of host publication2014 11th International Symposium on Electronics and Telecommunications, ISETC 2014 - Conference Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781479972654
DOIs
Publication statusPublished - 14 Jan 2015
Externally publishedYes
Event11th International Symposium on Electronics and Telecommunications, ISETC 2014 - Timisoara, Romania
Duration: 14 Nov 201415 Nov 2014

Publication series

Name2014 11th International Symposium on Electronics and Telecommunications, ISETC 2014 - Conference Proceedings

Conference

Conference11th International Symposium on Electronics and Telecommunications, ISETC 2014
Country/TerritoryRomania
CityTimisoara
Period14/11/1415/11/14

Keywords

  • 3D video
  • disparity maps
  • salient object detection
  • stereoscopic attention model

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